Investigation of the combination of intratumoral and peritumoral radiomic signatures for predicting epidermal growth factor receptor mutation in lung adenocarcinoma
Title
腫瘍および腫瘍周囲のRadiomic特微量を用いた肺腺がんにおけるEGFR遺伝子変異の予測モデルの作成
Investigation of the combination of intratumoral and peritumoral radiomic signatures for predicting epidermal growth factor receptor mutation in lung adenocarcinoma
Degree
博士(医学)
Dissertation Number
医博甲第1701号
(2024-03-18)
Degree Grantors
Yamaguchi University
[kakenhi]15501
grid.268397.1
Creators
Kawazoe Yusuke
Creator Keywords
EGFR mutation
machine learning
radiomic feature
Languages
jpn
Resource Type
doctoral thesis
File Version
Version of Record
Access Rights
open access
Funding Refs
Japan Society for the Promotion of Science
[crossref_funder]https://doi.org/10.13039/501100001691
Award
バイオメカニクスとロボティクスに基づく肺機能/形態融合の次世代動体追跡放射線治療
22K07667